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March 27, 2025

Python-based Triton RAT Targeting Roblox Credentials

Cado Security Labs (now part of Darktrace) identified Triton RAT, a Python-based open-source tool controlled via Telegram.
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Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Tara Gould
Malware Research Lead
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27
Mar 2025

Introduction

Researchers from Cado Security Labs (now part of Darktrace) have identified a Python Remote Access Tool (RAT) named Triton RAT. The open-source RAT is available on GitHub and allows users to remotely access and control a system using Telegram. 

Technical analysis

In the version of the Triton RAT Pastebin. 

Telegram token and chat ID encoded in Base64
Figure 1: Telegram token and chat ID encoded in Base64

Features of Triton RAT:

  • Keylogging
  • Remote commands
  • Steal saved passwords
  • Steal Roblox security cookies
  • Change wallpaper
  • Screen recording
  • Webcam access
  • Gather Wifi Information
  • Download/upload file
  • Execute shell commands
  • Steal clipboard data
  • Anti-Analysis
  • Gather system information
  • Data exfiltrated to Telegram Bot

The TritonRAT code contains many functions including the function “sendmessage” which iterates over password stores in AppData, Google, Chrome, User Data, Local, and Local State, decrypts them and saves the passwords in a text file. Additionally, the RAT searches for Roblox security cookies (.ROBLOSECURITY) in Opera, Chrome, Edge, Chromium, Firefox and Brave, if found the cookies are stored in a text file and exfiltrated. A Roblox security cookie is a browser cookie that stores the users’ session and can be used to gain access to the Roblox account bypassing 2FA. 

Function to search for and exfiltrate Roblox security cookies
Figure 2: Function used to search for and exfiltrate Roblox security cookies
Function that gathers and exfiltrates system information 
Figure 3: Function that gathers and exfiltrates system information 
Secondary payload retrieved from DropBox 
Figure 4: Secondary payload retrieved from DropBox 

The Python script also contains code to create a VBScript and a BAT script which are executed with Powershell. The VBScript “updateagent.vbs” disables Windows Defender, creates backups and scheduled tasks for persistence and monitors specified processes. The BAT script “check.bat” retrieves a binary named “ProtonDrive.exe” from DropBox, stores it in a hidden folder and executes it with admin privileges. ProtonDrive is a pyinstaller compiled version of TritonRAT. Presumably the binary is retrieved to set up persistence. Once retrieved, ProtonDrive is stored in a created folder structure “C:\Users\user\AppData\Local\Programs\Proton\Drive”. Three scheduled tasks are created to start on logon of any user.

Tasks created
Figure 5: Three tasks created to start on logon of any user

For anti-analysis, Triton RAT contains a function that checks for “blacklisted” processes which include popular tools such as xdbg, ollydbg, FakeNet, and antivirus products. Additionally, the same Git user offers a file resizer as defense evasion as some anti-virus will not check a file over a certain amount of MB.  All the exfiltrated data is sent to Telegram via a Telegram bot, where the user can send commands to the affected machine. At the time of analysis, the Telegram channel/bot had 4549 messages, although it is unknown if these are indicative of the number of infections.  

[related-resource]

Conclusion

The emergence of the Python-based Triton RAT highlights how quickly cybercriminals are evolving their tactics to target platforms with large user bases like Roblox. Its persistence mechanisms and reliance on Telegram for data exfiltration make it both resilient and easy for attackers to operate at scale. As threats like this continue to surface, it’s critical for organizations and individuals to reinforce endpoint protection, and promote strong credential security practices to reduce exposure to such attacks.

Indicators of compromise (IoCs)

ProtonDrive.exe

Ea04f1c4016383e0846aba71ac0b0c9c

Related samples:

076dccb222d0869870444fea760c7f2b564481faea80604c02abf74f1963c265

0975fdadbbd60d90afdcb5cc59ad58a22bfdb2c2b00a5da6bb1e09ae702b95e7

1f4e1aa937e81e517bccc3bd8a981553a2ef134c11471195f88f3799720eaa9c

200fdb4f94f93ec042a16a409df383afeedbbc73282ef3c30a91d5f521481f24

29d2a70eeedbe496515c71640771f1f9b71c4af5f5698e2068c6adcac28cc3e0

2b05494926b4b1c79ee0a12a4e7f6c07e04c084a953a4ba980ed7cb9b8bf6bc2

2d1b6bd0b945ddd8261efbd85851656a7351fd892be0fa62cc3346883a8f917e

2dce8fc1584e660a0cba4db2cacdf5ff705b1b3ba75611de0900ebaeaa420bf9

2f27b8987638b813285595762fa3e56fff2213086e9ba4439942cd470fa5669a

3f9ce4d12e0303faa59a307bcfc4366d02ba73e423dbf5bcf1da5178253db64d

4309e6a9abdfedc914df3393110a68bd4acfe922e9cd9f5f24abf23df7022af7

48231f2cf5bda35634fca2f98dc6e8581e8a65a2819d62bc375376fcd501ba2d

49b2ca4c1bd4405aa724ffaef266395be4b4581f1ff38b1fc092eab71e1adb6a

4b32dbd7a6ca7f91e75bacf055f4132be0952385d4d4fcbaf0970913876d64a1

566fc3f32633ce0b9a7154102bc1620a906473d5944dca8dea122cb63cb1bcaa

59793de10ed2d3684d0206f5f69cbebbba61d1f90a79dbd720d26bbf54226695

61a2c53390498716494ffa0b586aa6dc6c67baf03855845e2e3f2539f1f56563

6707ba64cccab61d3a658b23b28b232b1f601e3608b7d9e4767a1c0751bccd05

71fabe5022f613dc8e06d6dfda1327989e67be4e291f3761e84e3a988751caf8

78573a4c23f6ccdcbfce3a467fa93d2a1a49cf2f8dc7b595c0185e16b84828cb

78b246cbd9b1106d01659dd0ab65dc367486855b6b37869673bd98c560b6ff52

7bfdbceded56029bc32d89249e0195ebf47309fecded2b6578b035c52c43460b

7cb501e819fc98a55b9d19ad0f325084f6c4753785e30479502457ac7cb6289c

7fa70e18c414ae523e84c4a01d73e49f86ab816d129e8d7001fb778531adf3a7

8bc29a873b6144b6384a5535df5fc762c0c65e47a2caf0e845382c72f9d6671f

8c1db376bafcd071ffb59130d58ffcde45b2fa8e79dcc44c0a14574b9de55b43

a99ebd095d2ccda69855f2c700048658b8e425c90c916d5880f91c8aba634a2e

b656b7189925b043770a9738d8ae003d7401ac65a58e78c643937f4b44a3bc2c

b8dc2c5921f668f6cf8a355fd1cb79020b6752330be5e0db4bf96ae904d76249

b90af78927c6cb2d767f777d36031c9160aeb6fcd30090c3db3735b71274eb4e

bc1e211206c69fe399505e18380fb0068356d205c7929e2cb3d2fe0b4107d4e0

bf3c84a955f49c02a7f4fbf94dbbf089f26137fc75f5b36ac0b1bace9373d17a

c11d186e6d1600212565786ed481fbe401af598e1f689cf1ce6ff83b5a3b4371

cd42ae47c330c68cc8fd94cf5d91992f55992292b186991605b262ba1f776e8e

e1e2587ae2170d9c4533a6267f9179dff67d03f7adbb6d1fb4f43468d8f42c24

f389a8cbb88dae49559eaa572fc9288c253ed1825b1ce2a61e3d8ae998625e18

fc55895bb7d08e6ab770a05e55a037b533de809196f3019fbff0f1f58e688e5f

MITRE ATT&CK

T1053.005 Scheduled Task/Job: Scheduled Task

T1059.006 Command and Scripting Interpreter: Python

T1082 System Information Discovery

T1016 System Network Configuration Discovery

T1105 Ingress Tool Transfer

T1562.001 Impair Defenses: Disable or Modify Tools

T1132 Data Encoding

T1021 Remote Services

T1056.001 Input Capture: Keylogging

T1555 Credentials from Password Stores

T1539 Steal Web Session Cookie

T1546.015 Event Triggered Execution: Screensaver

T1113 Screen Capture

T1125 Video Capture

T1016 System Network Configuration Discovery

T1105 Ingress Tool Transfer

T1059 Command and Scripting Interpreter

T1115 Clipboard Data

T1497 Virtualization/Sandbox Evasion

T1020 Automated Exfiltration

YARA rule

rule Triton_RAT { 
   meta: 
       description = "Detects Python-based Triton RAT" 
       author = "[email protected]" 
       date = "2025-03-06" 
   strings: 
       $telegram = "telebot.TeleBot" ascii 
       $extract_data = "def extract_data" ascii 
       $bot_token = "bot_token" ascii 
       $chat_id = "chat_id" ascii 
       $keylogger = "/keylogger" ascii 
       $stop_keylogger = "/stopkeylogger" ascii 
       $passwords = "/passwords" ascii 
       $clipboard = "/clipboard" ascii 
       $roblox_cookie = "/robloxcookie" ascii 
       $wifi_pass = "/wifipass" ascii 
       $sys_commands = "/(shutdown|restart|sleep|altf4|tasklist|taskkill|screenshot|mic|wallpaper|block|unblock)" ascii 
       $win_cmds = /(taskkill \/f \/im|wmic|schtasks \/create|attrib \+h|powershell\.exe -Command|reg add|netsh wlan show profile|net user|whoami|curl ipinfo\.io)/ ascii 
       $startup = "/addstartup" ascii 
       $winblocker = "/winblocker" ascii 
       $startup_scripts = /(C:\\Windows\\System32\\updateagent\.vbs|check\.bat|watchdog\.vbs)/ ascii 
   condition: 
       any of ($telegram, $extract_data, $bot_token, $chat_id) and 
       4 of ($keylogger, $stop_keylogger, $passwords, $clipboard, $roblox_cookie, $wifi_pass, 
             $sys_commands, $win_cmds, $startup, $winblocker, $startup_scripts) 
} 

Get the latest insights on emerging cyber threats

This report explores the latest trends shaping the cybersecurity landscape and what defenders need to know in 2026.

Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
Tara Gould
Malware Research Lead

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June 12, 2026

Cybersecurity for the Sports Sector: The Threats Facing a Digitized Industry in 2026

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Securing sporting events in 2026

When you walk into a stadium on game day, you are entering a small smart city. Ticketing, turnstiles, payments, public Wi-Fi for tens of thousands of fans, CCTV, lighting, even the HVAC all run on connected systems. The experience for fans has become unmatched, but that dependency has created a much larger attack surface than people may realize.

Our latest threat research backs that up. In the past year, a survey that Darktrace commissioned found that 84% of respondents from professional sports organizations had at least one cyber incident, and 57% were hit more than once. For a sector that relies on the impact of the live moment, those numbers translate directly into operational risk.

Why sports is a target for cyber attacks

Sport is a highly visible target with fixed timelines, so attackers know exactly when disruption will have the most impact. It also holds valuable data, athlete medical records, contracts, sponsorship deals, which carry financial, reputational, and regulatory risk if exposed. At the same time, delivery depends on a wide set of third parties: ticketing providers, broadcasters, cloud services, stadium technology. Any of those connections can become an entry point. Put visibility, timing, data, and dependency together, and you get an environment where even a small foothold can turn into a visible, time-critical incident.

How attackers target email and identity

Email and identity remain the front door. From October 2025 through March 2026, Darktrace / EMAIL™ detected more than 116,000 phishing emails aimed at sports organizations across our customer base, and our sports customers received 19% more phishing emails than organizations in other sectors. The numbers tell the story:

BY THE NUMBERS

  • 21% of phishing emails were aimed at VIPs.
  • 37% used novel social engineering.
  • 84% of malicious emails passed DMARC authentication

A large proportion of these emails passed authentication checks, which means traditional security controls are no longer a reliable barrier. Attackers are not relying on spoofed domains – they're using legitimate infrastructure and trusted platforms. Behavior matters. Once an account is compromised, the behavior shifts quickly. Login patterns change, inbox rules are created to hide responses, and accounts start being used for internal discovery or further phishing. These aren’t high-noise events. They sit in normal workflows, which is why they’re often missed.

Ransomware tells a similar story. In one case inside a sports deployment, attackers had quietly been moving data to an outside server for a full two weeks before they triggered encryption. By the time the ransom note appeared, the outcome was already set. That sequence shows up consistently is access first, movement next, disruption last. If detection starts at encryption, it’s already too late.

Why AI is an emerging blind spot in sports

The increasing adoption of AI is expanding the potential attack surface. 72% of the security professionals we surveyed expect AI to increase their cyber risk over the next year, and yet 35% are already using or planning to use it in stadium operations, the most critical functions to protect. In addition to prompt injection and AI build risks, shadow AI is becoming a more immediate issue. Staff are already putting sensitive data—performance metrics, scouting reports, contracts, health data—into tools with little or no governance. The upside is clear, but so is the exposure—and it is happening before most organizations have any visibility or control. At the same time, attackers are using the same technology to scale phishing and social engineering. The net effect is simple: more exposure, at higher speed.

How can cybersecurity professionals prepare

Across high profile events, Darktrace’s experience shows that effective cyber defense includes preparation, real‑time visibility, and the ability to respond dynamically and decisively when timing, complexity, and public exposure converge.

There are a few strategic implications for cybersecurity teams:

  • Get behavioral visibility across IT and OT, not just corporate systems.
  • Treat identity as your control plane. Most attacks in this sector start with credentials, not malware. MFA with behavioral detection helps solve that challenge.
  • Control third party and AI access the same way you control your own environment.
  • Rehearse response for live conditions, where decisions happen in minutes. Detection and response need to account for non-ideal conditions when engineers are under pressure and time constrained. In sport, timing is what turns small issues into major incidents. The same activity that would be manageable midweek becomes critical during a live event.

Why 2026 raises the cybersecurity stakes for sports

With the 2026 World Cup about to stretch across three countries and dozens of host cities, the attack surface is wide and the schedule is unforgiving.

Geopolitical signaling is raising the threat profile further. Previous international sporting events have demonstrated that nation‑state actors use the cyber domain to signal intent, influence narratives, or retaliate symbolically. In the context of the 2026 World Cup, Russia’s continued exclusion from international sport, the ongoing conflict in Ukraine, US defensive support to Ukraine, and Iran’s likely participation in the tournament introduce additional motivations for state‑aligned and non‑traditional affiliated actors to operate below the threshold of armed conflict. This doesn’t require new techniques—just the right timing and visibility.

In practice, this comes down to preparation: knowing what normal looks like across IT and OT, controlling third-party access, and spotting when behavior shifts.

In sport, disruption does not build slowly—it happens in real time and in public. By that point, the groundwork has already been set, long before the whistle goes.

About this research

Findings are based on Darktrace threat-research telemetry across sports-sector customer deployments (Q4 2025–Q1 2026) and a survey of 875 IT cybersecurity professionals in the US, UK, Australia, and Germany, fielded by Opinion Matters between May 28 and June 3, 2026. Read the full report for complete methodology, incident analysis, and strategic recommendations.

[related-resource]

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About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO

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June 12, 2026

Protecting Stadiums & Events with AI

Default blog imageDefault blog image

Stadium and large public venue operators are confronted with a unique set of cyber security challenges. Often described as a ‘honeypot’ for cyber-criminals, the sports and entertainment industry is an attractive target for threat actors for three main reasons:

  • Modern sports organizations process sensitive and highly valuable data at scale;
  • Sporting events are highly visible and time-critical, operating in front of live audiences with no room for error;
  • Sports organizations rely on sprawling vendor ecosystems and supply chains to deliver broadcast, commerce, fan engagement services, and more.

In a recent Darktrace-commissioned survey, 84% of professional sports organizations reported at least one cyber incident in the past year, and 57% were hit more than once [1]. The potential ramifications of cyber disruption during a large-scale sports event cannot be overstated. A momentary lapse in access to power could bring TV broadcasts to a halt; disruption to access controls could restrict fans from entering the grounds; CCTV outages could increase the risk of criminal behavior and physical injuries. If data is not reliable and stadium machines are outputting the wrong metrics, a venue could become dangerously overcrowded. The barrier between the cyber and physical worlds has long dissolved – cyber-attacks threaten human safety.

In this blog, I explore the key challenges of stadium cyber security and explain the unique capabilities of Self-Learning AI that led me to adopt Darktrace as a head of ICT and cyber security for international venues and events. Over my career I have helped secure football and rugby World Cups, World Athletics Championships and more than 500 events ,and the lessons from each have only sharpened my conviction in this approach.

The access paradox

The biggest challenge lies in the paradox of securing a site where various internal services are provided to a large number of unknown and unmanaged users, suppliers and devices. When it’s game time, or ‘D-Day’, you see a huge influx of thousands of people, each with their own devices, needing to connect to your network and your infrastructure. The floodgates are opened. But certain parts of your digital environment need to remain protected: your sensitive employee and customer data, your critical OT systems. I liken this to opening the door to your home, and letting the entire town come in and wander around. But you still need to secure your master bedroom.

A multitude of different actors must be able to work on-site to provide services or content during the event. Broadcasters, staff and suppliers need to have access to manage the show, and all these people need to access or interact with the IT infrastructure. In many ways, these additional bodies are already inside the perimeter and could host unknown malicious threats.

This year, the paradox is wider than ever. A tournament spread across hundreds of suppliers and vendors means the foothold an attacker needs may already belong to a trusted partner – a single compromised supplier can become the doorway to everything else. And the adversary is no longer working alone: generative AI now lets attackers probe and weaponize vulnerabilities across thousands of software dependencies at a speed no human team could match, turning the access paradox from a manageable risk into a fast-moving target.

Achieving this balance between accessibility and security requires a shift in mindset from perimeter-based security to one that can detect and respond to threats on the inside. The complexities involved requires technology that can identify malicious behavior in real time based on the wider context of an incident. A particular behavior or connection may be benign in one context and yet critically disruptive in another — tools and technology must be able to discern between the two.

This is why I considered Darktrace’s Self-Learning AI a suitable fit: rather than defending at the perimeter, it focuses on detecting and responding to malicious activity already inside. Because it learns the unique ‘patterns of life’ of its surroundings, it can detect subtle deviations that indicate a threat and initiate a targeted response – without relying on pre-programmed rules and playbooks.

IT/OT convergence

The second key challenge is the issue of IT and OT convergence. Typical stadiums and arenas consist of a wide range of Industrial Control Systems (ICS).

This involves a complex and messy array of switches, cables, CCTV cameras, as well as devices and technologies being brought in by the media and the press, and all these IT and OT components are now interconnected, which means these technologies now have Internet Protocol (IP)-based threats to manage. The same challenges that the corporate infrastructure for stadium management faces in cyber security are therefore also now an issue for ICS security.

This challenge cannot be addressed by viewing IT and OT security in isolation — these two environments are linked because of the analogue migration to IP. A unified approach is required to detect and respond to threats that start in IT before moving to industrial systems.

The stakes are physical. CCTV, Access Control, Public Annoucement system, lighting and the giant screens are all now running over IP, and a disruption to any of them can force a venue to halt play on safety grounds. Scale compounds the problem. At the Qatar 2022 World Cup, eight stadiums were purpose-built to a single technical standard, which made the digital environment relatively uniform to defend. The 2026 tournament is the opposite: dozens of host venues across three countries, each with its own operator, its own contractors and its own legacy systems.This creates a far more fragmented and unpredictable estate to secure.

In addition, cyber security technology must be able to deal with complexity. Darktrace’s AI thrives in the most complex environments, with more data points adding more context to inform the AI’s decision making. It covers OT and IT with a single, unified AI engine, that can also detect and respond across cloud infrastructure, SaaS applications, email systems and endpoints. It is ready to adapt to the messy, interconnected systems that make up large stadiums’ digital infrastructure.

The time factor

Finally, the nature of stadium events means that timing is critical and puts enormous pressure on the organizers and operators. ‘D-Day’ cannot be replayed or postponed, and so if cyber disruption occurs during the event, every minute is crucial. You cannot reschedule a World Cup final or move an opening ceremony; the date is fixed, the world is watching, and there is no second take.

There is consequently a strong emphasis on two key metrics

  • Mean Time To Know (MTTK) — how long it takes the security team need to be aware of an incident; and
  • Mean Time To Restore (MTTR) — how quickly a team can act to contain the threat.

It is perhaps more imperative in stadium event management than anywhere else that these two metrics be minimized.

This leads to the third criteria in assessing cyber security technology: does it help with response? And critically, can that response be nuanced and targeted, able to contain that threat without causing further disruption?

To this end, Darktrace’s Autonomous Response takes machine-speed action to contain cyber-attacks, when humans are too slow to react or aren’t around at all. It’s powered by Darktrace’s AI, so it has a nuanced and continuously updating understanding of what’s ‘normal’ across IT and OT systems. This means its response actions are targeted: designed to eliminate the threat, but not at the cost of disruption. Crucially, this enables responses that are surgical rather than blunt. For example, taking an entire server offline to stop a ransomware attack can cause more disruption than the attack itself, so the real value lies in neutralizing the malicious activity precisely — containing the threat without taking down the systems the event and business depends on.

Depending on the nature and severity of the threat, the technology can block specific malicious connections by enforcing the normal ‘pattern of life’ of a device or account. When every second counts, this is the speed and granularity that you need in a cybersecurity technology.

Darktrace can be deployed across every area of the digital enterprise, including network, email, cloud and SaaS environments with the same self-learning approach, stopping anomalous behaviors that point to account takeover and other cloud-based threats. Earlier this year, we announced that Darktrace is also extending its behavioral approach to help businesses deploy and scale AI securely by understanding how these AI systems and agents behave, interact with other systems and humans, and evolve over time. This is critical because 72% of cybersecurity professionals at sports organizations believe AI will increase their cyber risk over the next 12 months [2].

Wherever it is deployed, Darktrace allows the stadium operator to focus on the vital part of the game and offers real-time protection without any modification in the network topology or infrastructure.

An adaptive defense

Cyber-criminals are constantly developing their approach in an attempt to evade security tools trained to look for specific hallmarks of an attack. As they get creative and continuously experiment with new tactics and techniques, the human operators using these tools are forced into a constant state of catch up.

An AI-based approach that learns an organization and its normal behavior patterns from the ground up puts an end to this game of ‘cat and mouse’, shifting the balance in favor of the defenders and allowing them to stay ahead of the threat. This matters more than ever, because adversaries are now using AI to scale their attacks. If you do not have AI working to protect you against malicious AI, you are already at a disadvantage.

With a nuanced understanding of what’s ‘normal’ for the business, unified IT/OT coverage, and an Autonomous Response solution that takes immediate, surgical action, the playing field is leveled, and large stadium and events operators can focus on delivering the best possible experience for attendees, digital viewers, partners and performers.

[related-resource]

References:

[1] [2] Darktrace: Cybersecurity in Global Sport, June 2026. Findings based on survey of 875 IT cybersecurity professionals based in the US, UK, Australia and Germany, working in professional sports organizations (including clubs, societies & sporting bodies) employing 10+ people. The survey was fielded between May 28, 2026 and June 3, 2026 by independent market research agency, Opinion Matters.

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